{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# MHKiT Environmental Contours\n", "\n", "Environmental contours of extreme sea states can be used as a part of reliability-based design for offshore structures, including wave energy converters (WECs). Environmental contours provide estimations of extreme sea states based on short-term data (e.g. 10 years used to estimate a 100-year event). These environmental contours describe extreme sea states by characterizing the resource, defining sea states for extreme condition analysis, and developing a framework for analyzing survivability of a design.\n", "\n", "MHKiT includes functions adapted from the [WDRT](https://github.com/WEC-Sim/WDRT) for creating environmental contours of extreme sea states using a principal component analysis (PCA) methodology, with additional improvements for characterizing the joint probability distribution of sea states. As a demonstration, this notebook will walk through the following steps to find a 100-year sea state for NDBC buoy 46022 using 16 years of spectral wave density data.\n", "\n", " 1. Request Spectral Wave Density Data from NDBC\n", " 2. Calculate Hm0 and Te using the requested data\n", " 3. Find the data's 100-year contour\n", " 4. Plot the data and the 100-year contour\n", "\n", "We will start by importing the necessary python packages (`scipy`, `pandas`, `numpy`), and MHKiT `wave` submodules (`resource`, `contours`, `graphics`, and `io.ndbc`)." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from mhkit.wave import resource, contours, graphics\n", "import matplotlib.pyplot as plt\n", "from mhkit.wave.io import ndbc\n", "from scipy import stats\n", "import pandas as pd\n", "import numpy as np" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1. Request Spectral Wave Density Data from NDBC\n", " \n", "MHKiT can be used to request historical data from the National Data Buoy Center ([NDBC](https://www.ndbc.noaa.gov/)). This process is split into the following steps:\n", "\n", "- Query available NDBC data \n", "- Select years of interest \n", "- Request Data from NDBC\n", "- Convert the DataFrames to DateTime Index\n", " \n", "\n", "### Query available NDBC data \n", "Looking at the help for the `ndbc.available_data` function (`help(ndbc.available_data)`) the function requires a parameter to be specified and optionally the user may provide a station ID as a string. A full list of available historical parameters can be found [here](https://www.ndbc.noaa.gov/data/historical/) although only some of these are currently supported. We are interested in historical spectral wave density data `'swden'` (from which we may calculate Hm0 and Te). Additionally, we will specify the buoy number as `'46022'` to only return data associated with this site." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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idyearfilename
154146022199646022w1996.txt.gz
154246022199746022w1997.txt.gz
154346022199846022w1998.txt.gz
154446022199946022w1999.txt.gz
154546022200046022w2000.txt.gz
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" ], "text/plain": [ " id year filename\n", "1541 46022 1996 46022w1996.txt.gz\n", "1542 46022 1997 46022w1997.txt.gz\n", "1543 46022 1998 46022w1998.txt.gz\n", "1544 46022 1999 46022w1999.txt.gz\n", "1545 46022 2000 46022w2000.txt.gz" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Specify the parameter as spectral wave density and the buoy number to be 46022\n", "parameter = 'swden'\n", "buoy_number = '46022' \n", "ndbc_available_data= ndbc.available_data(parameter, buoy_number)\n", "ndbc_available_data.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Select years of interest\n", "\n", "The `ndbc.available_data` function has returned a DataFrame with columns 'id', 'year', and 'filename'. The year column is of type int while the filename and id (5 digit alpha-numeric specifier) are of type string. In this case, the years returned from `ndbc_available_data` span 1996 to the last complete year the buoy was operational (currently 2019 for 46022). For demonstration, we have decided we are interested in the data between the years 1996 and 2012 so we will create a new `years_of_interest` DataFrame which only contains years less than 2013. " ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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idyearfilename
154146022199646022w1996.txt.gz
154246022199746022w1997.txt.gz
154346022199846022w1998.txt.gz
154446022199946022w1999.txt.gz
154546022200046022w2000.txt.gz
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" ], "text/plain": [ " id year filename\n", "1541 46022 1996 46022w1996.txt.gz\n", "1542 46022 1997 46022w1997.txt.gz\n", "1543 46022 1998 46022w1998.txt.gz\n", "1544 46022 1999 46022w1999.txt.gz\n", "1545 46022 2000 46022w2000.txt.gz" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Slice the available data to only include through year 2012\n", "years_of_interest = ndbc_available_data[ndbc_available_data.year < 2013]\n", "years_of_interest.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Request Data from NDBC\n", "\n", "The filename column in our `years_of_interest` DataFrame and the parameter is needed to request the data. To get the data we can use the `ndbc.request_data` function to iterate over each buoy id and year in the passed DataFrame. This function will return the parameter data as a dictionary of DataFrames which may be accessed by buoy id and then the year for multiple buoys or just the year for a single buoy. " ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "# Get dictionary of parameter data by year\n", "filenames= years_of_interest['filename']\n", "ndbc_requested_data = ndbc.request_data(parameter, filenames)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Convert the DataFrames to DateTime Index\n", "\n", "The data returned for each year has a variable number of columns for the year, month, day, hour, minute, and the way the columns are formatted (this is a primary reason for return a dictionary of DataFrames indexed by years). A common step a user will want to take is to remove the inconsistent NDBC date/ time columns and create a standard DateTime index. The MHKiT function `ndbc.to_datetime_index` will perform this standardization by parsing the NDBC date/ time columns into DateTime format and setting this as the DataFrame Index and removing the NDBC date/ time columns. This function operates on a DateFrame therefore we will iterate over each year of the `ndbc_requested_data` dictionary." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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0.030.040.050.060.070.080.090.100.110.12...0.310.320.330.340.350.360.370.380.390.40
date
1996-01-01 00:00:000.02.1127.4941.6327.2317.098.615.053.732.82...0.170.160.140.150.130.090.090.080.060.06
1996-01-01 01:00:000.01.2025.1357.6932.5911.756.334.164.222.98...0.220.180.200.100.120.100.070.070.050.04
1996-01-01 02:00:000.00.9015.9848.9837.9823.5611.876.803.753.00...0.140.150.200.120.080.080.070.090.070.05
1996-01-01 03:00:000.00.3814.7338.5534.9914.799.235.544.432.99...0.170.200.170.140.120.090.070.050.060.04
1996-01-01 04:00:000.00.1222.7752.1134.8818.9013.367.492.942.55...0.120.110.090.130.100.080.080.070.030.03
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5 rows × 38 columns

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" ], "text/plain": [ " 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.10 \\\n", "date \n", "1996-01-01 00:00:00 0.0 2.11 27.49 41.63 27.23 17.09 8.61 5.05 \n", "1996-01-01 01:00:00 0.0 1.20 25.13 57.69 32.59 11.75 6.33 4.16 \n", "1996-01-01 02:00:00 0.0 0.90 15.98 48.98 37.98 23.56 11.87 6.80 \n", "1996-01-01 03:00:00 0.0 0.38 14.73 38.55 34.99 14.79 9.23 5.54 \n", "1996-01-01 04:00:00 0.0 0.12 22.77 52.11 34.88 18.90 13.36 7.49 \n", "\n", " 0.11 0.12 ... 0.31 0.32 0.33 0.34 0.35 0.36 \\\n", "date ... \n", "1996-01-01 00:00:00 3.73 2.82 ... 0.17 0.16 0.14 0.15 0.13 0.09 \n", "1996-01-01 01:00:00 4.22 2.98 ... 0.22 0.18 0.20 0.10 0.12 0.10 \n", "1996-01-01 02:00:00 3.75 3.00 ... 0.14 0.15 0.20 0.12 0.08 0.08 \n", "1996-01-01 03:00:00 4.43 2.99 ... 0.17 0.20 0.17 0.14 0.12 0.09 \n", "1996-01-01 04:00:00 2.94 2.55 ... 0.12 0.11 0.09 0.13 0.10 0.08 \n", "\n", " 0.37 0.38 0.39 0.40 \n", "date \n", "1996-01-01 00:00:00 0.09 0.08 0.06 0.06 \n", "1996-01-01 01:00:00 0.07 0.07 0.05 0.04 \n", "1996-01-01 02:00:00 0.07 0.09 0.07 0.05 \n", "1996-01-01 03:00:00 0.07 0.05 0.06 0.04 \n", "1996-01-01 04:00:00 0.08 0.07 0.03 0.03 \n", "\n", "[5 rows x 38 columns]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Lastly we will convert a DateTime Index \n", "ndbc_data={}\n", "# Create a Datetime Index and remove NOAA date columns for each year\n", "for year in ndbc_requested_data:\n", " year_data = ndbc_requested_data[year]\n", " ndbc_data[year] = ndbc.to_datetime_index(parameter, year_data)\n", "\n", "# Display DataFrame of 46022 data from 1996\n", "ndbc_data['1996'].head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2. Calculate $H_{m0}$ and $T_e$ using the NDBC Data\n", "\n", "A sea state may be characterized by significant wave height (Hm0) and energy period (Te). Using the historical spectral wave density data from NDBC, we can calculate these variables using MHKiT. Both Hm0 and Te return a single value for a given time (e.g. DateTime index). Currently, the data remains as a dictionary of DataFrames because the frequency binning (range and discretization) change across years of NDBC data. Once we have a single value for each DateTime we can combine all the data into a single DataFrame. " ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Hm0Te
date
1996-01-01 00:00:004.81962714.856398
1996-01-01 01:00:005.00415814.961679
1996-01-01 02:00:005.09116914.244618
1996-01-01 03:00:004.67948714.042246
1996-01-01 04:00:005.14089514.478961
.........
2012-12-31 19:00:001.99519414.757854
2012-12-31 20:00:001.97625914.360242
2012-12-31 21:00:002.65842115.708162
2012-12-31 22:00:002.36491015.247587
2012-12-31 23:00:002.05689114.328179
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125410 rows × 2 columns

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" ], "text/plain": [ " Hm0 Te\n", "date \n", "1996-01-01 00:00:00 4.819627 14.856398\n", "1996-01-01 01:00:00 5.004158 14.961679\n", "1996-01-01 02:00:00 5.091169 14.244618\n", "1996-01-01 03:00:00 4.679487 14.042246\n", "1996-01-01 04:00:00 5.140895 14.478961\n", "... ... ...\n", "2012-12-31 19:00:00 1.995194 14.757854\n", "2012-12-31 20:00:00 1.976259 14.360242\n", "2012-12-31 21:00:00 2.658421 15.708162\n", "2012-12-31 22:00:00 2.364910 15.247587\n", "2012-12-31 23:00:00 2.056891 14.328179\n", "\n", "[125410 rows x 2 columns]" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Intialize empty lists to store the results from each year\n", "Hm0_list=[]\n", "Te_list=[]\n", "\n", "# Iterate over each year and save the result in the initalized dictionary\n", "for year in ndbc_data:\n", " year_data = ndbc_data[year]\n", " Hm0_list.append(resource.significant_wave_height(year_data.T))\n", " Te_list.append(resource.energy_period(year_data.T))\n", "\n", "# Concatenate list of Series into a single DataFrame\n", "Te = pd.concat(Te_list ,axis=0)\n", "Hm0 = pd.concat(Hm0_list ,axis=0)\n", "Hm0_Te = pd.concat([Hm0,Te],axis=1)\n", "\n", "# Drop any NaNs created from the calculation of Hm0 or Te\n", "Hm0_Te.dropna(inplace=True)\n", "# Sort the DateTime index\n", "Hm0_Te.sort_index(inplace=True)\n", "Hm0_Te" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 3. Find the contour line for the 100 year\n", "\n", "With the sea state data calculated, we can now use the modified I-FORM method to define reliability for a 100-year sea state based on the 17 years of spectral wave density data obtained from NDBC for buoy 46022. Reliability is the likelihood that a certain event will not occur in a given period. The period will define a line of constant probability in the joint probability of $H_{m0}$ and $T_e$ but individually each component different reliability (marginal distribution) which we can find by evaluating a normal cumulative distribution function (CDF). This CDF returns each component's quantiles along the iso-reliability line that finally allows us to calculate each sea state value (e.g. the 100-year contour values for Hm0 and Te). \n", "\n", "For more detail on the environmental contour method used here please refer to:\n", "[Eckert-Gallup et. al 2016](https://www.sciencedirect.com/science/article/abs/pii/S0029801815006721)\n", "\n", "To apply the `environmental_contours` function we will specify a 100-year sea state, the sea state data (Hm0, Te), and the time difference between measurements (dt in seconds)." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "# Return period (years) of interest\n", "period = 100 \n", "\n", "# Remove Hm0 Outliers\n", "Hm0_Te_clean = Hm0_Te[Hm0_Te.Hm0 < 20]\n", "\n", "# Get only the values from the DataFrame\n", "Hm0 = Hm0_Te_clean.Hm0.values \n", "Te = Hm0_Te_clean.Te.values \n", "\n", "# Delta time of sea-states \n", "dt = (Hm0_Te_clean.index[2]-Hm0_Te_clean.index[1]).seconds \n", "\n", "# Get the contour values\n", "copula = contours.environmental_contours(Hm0, Te, dt, period, 'PCA', return_PCA=True)\n", "Hm0_contour=copula['PCA_x1']\n", "Te_contour=copula['PCA_x2']" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 4. Plot overlay of the data and contour\n", "Lastly we can use the MHKiT graphics module to create a contour plot which shows the data and resultant conotour line." ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig,ax=plt.subplots(figsize=(8,4))\n", "#%matplotlib inline\n", "ax=graphics.plot_environmental_contour(Te, Hm0, \n", " Te_contour, Hm0_contour, \n", " data_label='NDBC 46022', \n", " contour_label='100 Year Contour',\n", " x_label = 'Energy Period, $Te$ [s]',\n", " y_label = 'Sig. wave height, $Hm0$ [m]', \n", " ax=ax)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Other Contour Methods\n", "\n", "MHKiT has parametric, nonparametric, and Kernel Density Estimation methods for calculating environmental contours housed within the `resource.environmental_contours` function. We can compare other copulas to our PCA method simply by adding more methods. A single string method can be applied if only one copula is of interest as was done above for the PCA method or multiple methods can be sent in using a list of strings. If mutiple methods of the same type are desired is recommended to run them at the same time if possible as it will reduce the computational expense by utilizing the common computational calls across the copulas. In the example below we will compare the parametric and nonparametric Gaussain contours to the PCA method we ran previously. \n", "\n", "We start by using the default settings for our Gaussian methods. The `environmental_contours` function returns a dictionary with component 'x1' and 'x2' for each method. E.g. if the `environmental_contours` function were called with the `'gaussian'` method then `environmental_contours` function would return a dictionary with keys `['gaussian_x1', 'gaussian_x2']`. The copula methods are a generalized mathematical method and therefore 'x1' and 'x2' are used in place of Hm0 and Te for the component values. 'x1' refers to the first array passed and 'x2' refers to the second array passed. In the example below 'x1' would refer to the Hm0 component of the coupla and 'x2' would refer to Te. " ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "copulas = contours.environmental_contours(Hm0, Te, dt, period, method=['gaussian', 'nonparametric_gaussian'])\n", "\n", "fig, ax = plt.subplots(figsize=(9,4))\n", "\n", "Tes=[Te_contour]\n", "Hm0s=[Hm0_contour]\n", "methods=['gaussian', 'nonparametric_gaussian']\n", "for method in methods: \n", " Hm0s.append(copulas[f'{method}_x1'])\n", " Tes.append(copulas[f'{method}_x2'])\n", "\n", "ax = graphics.plot_environmental_contour(Te, Hm0, \n", " Tes, Hm0s,\n", " data_label='NDBC 46050', \n", " contour_label=['PCA','Gaussian', 'Nonparametric Gaussian'],\n", " x_label = 'Energy Period, $Te$ [s]',\n", " y_label = 'Sig. wave height, $Hm0$ [m]', \n", " ax=ax)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Resource Clusters\n", "\n", "Often in resource characterization we want to pick a few representative sea state to run an alaysis. To do this with the resource data in python we reccomend using a Gaussian Mixture Model (a more generalized k-means clustering method). Using sckitlearn this is very straigth forward. We combine our Hm0 and Te data into an N x 2 numpy array. We specify our number of components (number of representative sea states) and then call the fit method on the data. Fianlly, using the methods `means_` and `weights` we can organize the results into an easily digestable table." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Hm0Tp
date
1996-01-01 00:00:004.81962716.666667
1996-01-01 01:00:005.00415816.666667
1996-01-01 02:00:005.09116916.666667
1996-01-01 03:00:004.67948716.666667
1996-01-01 04:00:005.14089516.666667
.........
2012-12-31 19:00:001.99519419.047619
2012-12-31 20:00:001.97625917.391304
2012-12-31 21:00:002.65842117.391304
2012-12-31 22:00:002.36491017.391304
2012-12-31 23:00:002.05689117.391304
\n", "

125426 rows × 2 columns

\n", "
" ], "text/plain": [ " Hm0 Tp\n", "date \n", "1996-01-01 00:00:00 4.819627 16.666667\n", "1996-01-01 01:00:00 5.004158 16.666667\n", "1996-01-01 02:00:00 5.091169 16.666667\n", "1996-01-01 03:00:00 4.679487 16.666667\n", "1996-01-01 04:00:00 5.140895 16.666667\n", "... ... ...\n", "2012-12-31 19:00:00 1.995194 19.047619\n", "2012-12-31 20:00:00 1.976259 17.391304\n", "2012-12-31 21:00:00 2.658421 17.391304\n", "2012-12-31 22:00:00 2.364910 17.391304\n", "2012-12-31 23:00:00 2.056891 17.391304\n", "\n", "[125426 rows x 2 columns]" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Intialize empty lists to store the results from each year\n", "Hm0_list=[]\n", "Tp_list=[]\n", "\n", "# Iterate over each year and save the result in the initalized dictionary\n", "for year in ndbc_data:\n", " year_data = ndbc_data[year] \n", " Hm0_list.append(resource.significant_wave_height(year_data.T))\n", " Tp_list.append(resource.peak_period(year_data.T))\n", "\n", "# Concatenate list of Series into a single DataFrame\n", "Tp = pd.concat(Tp_list ,axis=0)\n", "Hm0 = pd.concat(Hm0_list ,axis=0)\n", "Hm0_Tp = pd.concat([Hm0,Tp],axis=1)\n", "\n", "# Drop any NaNs created from the calculation of Hm0 or Te\n", "Hm0_Tp.dropna(inplace=True)\n", "# Sort the DateTime index\n", "Hm0_Tp.sort_index(inplace=True)\n", "\n", "# Remove Hm0 Outliers\n", "Hm0_Tp_clean = Hm0_Tp[Hm0_Tp.Hm0 < 20]\n", "Hm0_Tp_clean = Hm0_Tp[Hm0_Tp.Tp < 30]\n", "\n", "# Get only the values from the DataFrame\n", "Hm0 = Hm0_Tp_clean.Hm0.values \n", "Tp = Hm0_Tp_clean.Tp.values \n", "\n", "\n", "Hm0_Tp" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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TpHm0weights
011.8363432.4514840.289387
19.4354752.3615950.167635
212.2928374.3961670.060054
316.5679672.7071210.075018
419.8923002.7500650.018447
56.9409371.4319810.101389
614.2949402.7831620.131494
78.0496921.9905760.156575
\n", "
" ], "text/plain": [ " Tp Hm0 weights\n", "0 11.836343 2.451484 0.289387\n", "1 9.435475 2.361595 0.167635\n", "2 12.292837 4.396167 0.060054\n", "3 16.567967 2.707121 0.075018\n", "4 19.892300 2.750065 0.018447\n", "5 6.940937 1.431981 0.101389\n", "6 14.294940 2.783162 0.131494\n", "7 8.049692 1.990576 0.156575" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.mixture import GaussianMixture\n", "\n", "# Compute Gaussian Mixture Model\n", "X = np.vstack((Tp, Hm0)).T\n", "gmm = GaussianMixture(n_components=8).fit(X)\n", "\n", "# Save centers and weights\n", "results = pd.DataFrame(gmm.means_, columns=['Tp','Hm0'])\n", "results['weights'] = gmm.weights_\n", "results" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Viewing the Clusters\n", "\n", "We can visually look at the clusters by predicting which cluster each datapoint belongs in. Then we can plot the means on top of this to show where each cluster is centered and how the data points are being catagorized." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'Sig. wave height, $Hm0$ [m]')" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot the Sections of Data\n", "labels = gmm.predict(X)\n", "plt.scatter(Tp, Hm0, c=labels, s=40)\n", "plt.plot(results.Tp, results.Hm0, 'm+')\n", "plt.xlabel('Peak Period, $Tp$ [s]')\n", "plt.ylabel('Sig. wave height, $Hm0$ [m]')" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3.9.13 ('.venv': venv)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.13" }, "vscode": { "interpreter": { "hash": "15fd306e44580d8cf431083454c399b84f9cc4f7f2c761501397671836835f49" } } }, "nbformat": 4, "nbformat_minor": 4 }